TALENT-MERGE PTE. LTD.
Data Scientist (Geospatial)
Visa Source Listed
📍🇸🇬 Singapore📅12h ago
S$96,000—S$1,00,800/ year
≈ ₹60L — ₹63L per year
Model ServingMicrosoft AzureOperational RequirementsCross-Functional Team LeadershipInfrastructure PlanningAWSMathematicsSpatial AnalysisGoogle Cloud PlatformAzure Machine LearningGeographic Information ScienceProject PlanComputer SciencePyTorchSQL
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Job Description
🌍 We’re Hiring: Data Scientist (Geospatial)🌟
We are seeking a Data Scientist to join a geospatial team at the forefront of spatial modelling and long-term education planning in Singapore. In this role, you will architect and deploy machine learning solutions that forecast future demand, optimise infrastructure decisions, and turn diverse datasets into evidence-based insights. If you thrive at the intersection of data science, geospatial analytics, and public sector impact, we would like to hear from you.
📍 Location: Singapore, Singapore
Monthly Salary (SGD) $8,000 to $8,400
Responsibilities
- Partner with planners, analysts, and business stakeholders to identify long-term infrastructure and space-planning needs.
- Convert complex operational requirements into clear analytical specifications and scalable technical solutions.
- Perform exploratory analysis on spatial, demographic, housing, migration, land-use, and accessibility datasets to uncover planning insights.
- Architect end-to-end machine learning solutions for geospatial analytics and education-demand forecasting.
- Establish reliable data pipelines, feature-engineering workflows, and model-serving frameworks that support production use.
- Create, test, and operationalise predictive models and geospatial analytics solutions within cloud-based environments.
- Integrate data from multiple internal and external sources while maintaining data quality, consistency, and traceability.
- Leverage spatial regression, time-series forecasting, agent-based modelling, ensemble methods, or deep learning based on project requirements.
- Assess model performance against observed outcomes and enhance modelling approaches to improve forecast accuracy and reliability.
- Communicate analytical findings and recommendations to technical and non-technical stakeholders while coordinating with engineering and platform teams.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Geospatial Science, Mathematics, or a related discipline.
- At least 3–5 years of hands-on experience in data science or a related field, including delivering machine learning solutions in production.
- Strong proficiency in Python, SQL, and data science frameworks such as scikit-learn, PyTorch, or TensorFlow.
- Experience with the full machine learning lifecycle and cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure; familiarity with GeoPandas, QGIS, PostGIS, or ArcGIS is advantageous.
- Strong analytical, communication, and stakeholder-management skills, with the ability to contribute effectively in cross-functional teams; exposure to demographic modelling, urban planning, public-sector analytics, or Singapore planning datasets is preferred.
Clarence Khoh
R1552376